A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation
Abstract Due to design and process-related factors, there are local variations in the microstructure and mechanical behaviour of cast components. This work establishes a Digital Image Correlation (DIC) based method for characterisation and investigation of the effects of such local variations on the behaviour of a high pressure, die cast (HPDC) aluminium alloy. Plastic behaviour is studied using gradient solidified samples and characterisation models for the parameters of the Hollomon equation are developed, based on microstructural refinement. Samples with controlled microstructural variations are produced and the observed DIC strain field is compared with Finite Element Method (FEM) simulation results. The results show that the DIC based method can be applied to characterise local mechanical behaviour with high accuracy. The microstructural variations are observed to cause a redistribution of strain during tensile loading. This redistribution of strain can be predicted in the FEM simulation by incorporating local mechanical behaviour using the developed characterisation model. A homogeneous FEM simulation is unable to predict the observed behaviour. The results motivate the application of a previously proposed simulation strategy, which is able to predict and incorporate local variations in mechanical behaviour into FEM simulations already in the design process for cast components.
Graphical abstract Display Omitted
Highlights The effect of local variations in microstructure in cast aluminium is investigated. The strain field during tensile testing is measured using Digital Image Correlation. Microstructural variations are shown to cause local variations in the strain field. The distribution of strains can be predicted using a proposed simulation strategy. A homogeneous material description fails to predict the effect of local variations.
Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation
Abstract Due to design and process-related factors, there are local variations in the microstructure and mechanical behaviour of cast components. This work establishes a Digital Image Correlation (DIC) based method for characterisation and investigation of the effects of such local variations on the behaviour of a high pressure, die cast (HPDC) aluminium alloy. Plastic behaviour is studied using gradient solidified samples and characterisation models for the parameters of the Hollomon equation are developed, based on microstructural refinement. Samples with controlled microstructural variations are produced and the observed DIC strain field is compared with Finite Element Method (FEM) simulation results. The results show that the DIC based method can be applied to characterise local mechanical behaviour with high accuracy. The microstructural variations are observed to cause a redistribution of strain during tensile loading. This redistribution of strain can be predicted in the FEM simulation by incorporating local mechanical behaviour using the developed characterisation model. A homogeneous FEM simulation is unable to predict the observed behaviour. The results motivate the application of a previously proposed simulation strategy, which is able to predict and incorporate local variations in mechanical behaviour into FEM simulations already in the design process for cast components.
Graphical abstract Display Omitted
Highlights The effect of local variations in microstructure in cast aluminium is investigated. The strain field during tensile testing is measured using Digital Image Correlation. Microstructural variations are shown to cause local variations in the strain field. The distribution of strains can be predicted using a proposed simulation strategy. A homogeneous material description fails to predict the effect of local variations.
Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation
Olofsson, Jakob (author) / Svensson, Ingvar L. (author) / Lava, Pascal (author) / Debruyne, Dimitri (author)
2013-12-16
8 pages
Article (Journal)
Electronic Resource
English
| British Library Online Contents | 2012
Finite Element Stereo Digital Image Correlation: Framework and Mechanical Regularization
| British Library Online Contents | 2017